UEC Nominees 2024

ROLE

• Graduate student (PhD track), College of Science, University of Utah

EDUCATION

• PhD, Atmospheric Sciences, University of Utah, expected 2026
• MS, Atmospheric Sciences, University of Utah, 2023
• BS, Atmospheric Sciences, University of California, Davis, 2021

RESEARCH INTERESTS

My research focuses on using aerosol and cloud data from ARM’s data repository on how aerosol formation processes, particularly new particle formation (NPF), contribute to the production of cloud condensation nuclei. My research also couples the impact of boundary-layer turbulence to NPF using aerosol and turbulence data from the ArcticShark uncrewed aerial system over ARM’s Southern Great Plains (SGP) atmospheric observatory. A submitted manuscript, “Elucidating New Particle Formation in Complex Terrain during the Winter 2022 Cold Fog Amongst Complex Terrain (CFACT) Campaign,” summarizes the effects of turbulence on NPF across three case studies and provides the science basis for the ArcticShark field study.

PROFESSIONAL EXPERIENCE

Throughout my PhD studies, I have worked extensively with aerosol and cloud data collected from various ARM mobile and fixed sites. I also participated as a mission scientist during the NPFTURBULENCE field campaign in May 2024. This campaign used aerosol and turbulence measurements from the ArcticShark to explore how turbulence within the boundary layer influences NPF. These research experiences have been invaluable in aligning with my overarching goal: to deepen our understanding of the mechanisms behind NPF and its broader implications on climate.

WHY I’M A CANDIDATE

As an active ARM data user, I have worked with aerosol, cloud, and chemical speciation data from multiple sites to investigate the mechanisms and impacts of NPF. I am passionate about improving the accessibility and functionality of ARM data for the broader scientific community, aiming to streamline processes that better serve user needs. In July 2024, I served as a notetaker for the AMSG workshop, where I gained insight into the mechanics behind creating a strong ARM data repository for users. This experience, combined with my extensive personal use of ARM data, makes me a strong candidate for the UEC, where I am committed to advocating for improvements while emphasizing existing strengths that enhance the user experience.

ROLE

• Chemist, Environmental Molecular Sciences Laboratory (EMSL) at Pacific Northwest National Laboratory (PNNL)

EDUCATION

• PhD, University of Georgia, 2020
• Master of chemical engineering, Carnegie Mellon University, 2015
• BS, Ohio State University, 2014

RESEARCH INTERESTS

My research interests focus on aerosol physicochemical and optical properties to understand their direct and indirect climate effects. My research involves both field measurements and laboratory experiments. I use high-resolution microscopy to probe the individual particles’ phase state, morphology, mixing state, chemical composition, and elemental composition. Currently, I am interested in wildland fire aerosols. I also work on aerosol sampling and analytical instrument development. I have been involved in many ARM campaigns, and my research heavily depends on ARM data.

PROFESSIONAL EXPERIENCE

I have worked at EMSL, another DOE user facility, since my postdoctoral training. I support EMSL user programs, including working closely with ARM by supporting ARM/EMSL FICUS projects. Specifically, I support ARM TBS campaigns by providing supplies and managing the Size and Time-Resolved Aerosol Collector (STAC) platform. I help FICUS programs by analyzing samples and designing sampling strategies. Currently, I am also involved in ArcticShark campaigns.

WHY I’M A CANDIDATE

The UEC plays a pivotal role in guiding ARM’s objectives and enhancing the ARM user experience through constructive feedback and strategic direction. I am eager to serve as an early career member to contribute to advancing atmospheric research and fostering stronger collaboration within the ARM community. This opportunity aligns with my passion for serving the scientific community while advancing my own career development.

As an early career scientist at EMSL, I bring valuable experience in supporting user programs and helping diverse projects succeed. My involvement with ARM includes supporting ARM/EMSL FICUS projects and various ARM campaigns. I also support the ARM TBS campaigns and the ArcticShark. As an aerosol scientist with diverse expertise, I make an ideal candidate to contribute to the UEC and further strengthen the collaboration between ARM and EMSL.

ROLE

• Research Physical Scientist, NOAA Physical Sciences Laboratory

EDUCATION

• PhD, Engineering Sciences, Thayer School of Engineering at Dartmouth College, 2023
• AB, Earth Sciences and Chemistry, Dartmouth College, 2015

RESEARCH INTERESTS

I work to improve weather and climate predictions in cryospheric regions through process-level studies and model development, with a focus on snow and sea ice. My past work includes field measurements of wind-driven snow redistribution on arctic sea ice and exploring the impacts of unrepresented processes in models. My modeling work ranges from high-resolution heat conduction modeling to global climate modeling. Currently, I am focused on processing observational data sets from the MOSAiC expedition into merged data sets to drive model development and developing a new melt pond parameterization for the CICE sea ice model.

PROFESSIONAL EXPERIENCE

I recently began my current position at NOAA, where I conduct field measurements, data analysis, and model development primarily related to snow and sea ice in the Arctic. I contributed to the SALVO campaign at ARM’s North Slope of Alaska (NSA) observatory and the MOSAiC expedition in the central Arctic Ocean. Prior to NOAA, I was a postdoc at the NSF National Center for Atmospheric Research (NCAR), where I developed a new melt pond parameterization, “sealvlponds,” for the sea ice model CICE, based on observations at MOSAiC. The goals of sealvlponds include improving model representations of the partitioning of shortwave radiation in the arctic system. Prior to my PhD, I contributed to four field seasons of glaciology research in Antarctica. Also, I lead the MOSAiC Model Forcing Data Set Working Group.

WHY I’M A CANDIDATE

As an early career researcher (ECR), I’ve experienced and observed among my peers the challenges of the COVID-19 pandemic, building sustainable careers, field campaigns, and modern expectations around data archiving. I am well connected with ECRs in both the observational and modeling communities. As an early career member on ARM’s UEC, I would solicit input from ECRs to communicate to ARM management and the rest of the UEC. I am particularly interested in advocating that ARM ensure the physical and psychological safety of all campaign participants.

ROLE

• Staff Scientist, PNNL

EDUCATION

• PhD, Atmospheric and Analytical Chemistry, University of California San Diego (UCSD), 2019
• BS, Chemistry, University of Texas at Dallas, 2007

RESEARCH INTERESTS

Most broadly, I am interested in aerosol-cloud interactions, with a focus on ice nucleation processes. Currently, I am most interested in how biological particles contribute to ambient ice-nucleating particle (INP) populations, and which environmental factors control their emissions. I have also measured the composition of INPs in lab and field studies, publishing this work in JGR, GRL, and Science Advances.

PROFESSIONAL EXPERIENCE

I received my PhD in 2019 from UCSD, where I used single-particle mass spectrometry to understand sources of ambient INPs. Since 2019, I have worked at PNNL, first as a postdoc and then as a staff scientist. I participated in ARM field campaigns studying INP composition at the SGP, and I used LASSO simulations to study the transport of dust in the convective boundary layer. Currently, I am the PI of a 2024 DOE Early Career Research Program project on biological INPs. As part of this project, I will oversee field campaigns studying the sources of INPs at the ARM Bankhead National Forest site.

WHY I’M A CANDIDATE

I believe that my experience with field measurements, particularly those of INPs, will be useful for the ARM UEC. Additionally, I will be collecting measurements and data at the Bankhead National Forest site on an ongoing basis under my DOE early career award, and I feel that my perspective would be valuable for the UEC.

ROLE

• Associate Professor, Department of Chemical Engineering, Carnegie Mellon University

EDUCATION

• PhD, University of Minnesota Twin Cities, Mechanical Engineering, 2015
• MS, University of Minnesota Twin Cities, Chemical Engineering, 2013
• BS, Columbia University, Chemical Engineering, 2010

RESEARCH INTERESTS

My research focuses on measuring and developing semi-empirical models to describe the numerous compounds and their reactions that help form and grow atmospheric particles. In addition, my group specializes in developing aerosol particle instruments and mass spectrometers to measure the precursor gases and the molecular makeup of freshly formed particles.

PROFESSIONAL EXPERIENCE

My aerosol career began as an undergraduate researcher at Columbia, where I built reaction chambers and aerosol instrumentation. I continued to develop mass spectrometers at the University of Minnesota and used these instruments to study atmospheric new particle formation reactions. During this time, I conducted field measurements at ARM SGP and Lewes, Delaware. My postdoctoral work included fieldwork at the Fire Science Laboratory and Blodgett Forest Research Station to measure the chemical composition of smoke. I am currently an associate professor mentoring six PhD and four undergraduate students. We recently conducted a field campaign at ARM SGP and measured vertically resolved nucleation precursor gases.

WHY I’M A CANDIDATE

I am happy to serve on the ARM UEC for aerosol measurements as I have extensive experience with ground-based and TBS aerosol instrumentation at ARM facilities. I understand the challenges in obtaining aerosol field observations and have worked on methods for quality control analysis of field data. I actively use ARM observations and collaborate with other ASR-sponsored scientists.

ROLE

• Assistant Research Scientist, NOAA Cooperative Science Center for Atmospheric Sciences and Meteorology (NCASM), Howard University

EDUCATION

• PhD, Environmental Science and Engineering, University of Texas at El Paso (UTEP), 2021
• MS, Computational Science, UTEP, 2017
• MSc, Physics, University of Mumbai, 2014
• BSc, Physics, University of Mumbai, 2012

RESEARCH INTERESTS

My research focuses on understanding atmospheric boundary-layer dynamics, air quality, and climate change impacts. I investigate turbulence in boundary layers, pollutant dispersion, and how complex topography influences these processes. I work extensively with observational data sets and numerical models to improve weather prediction and environmental assessments. My published work includes studies on air pollution in semi-arid regions and the dynamics of severe weather phenomena such as virga precipitation and dry microbursts.

PROFESSIONAL EXPERIENCE

I began my academic journey with a PhD at UTEP, where I researched air quality in the El Paso-Juárez region. I then held postdoctoral positions at UTEP and Howard, focusing on boundary-layer dynamics and pollution transport. In my current role, I work closely with NOAA GSL, to characterize turbulence in the convective boundary layer using high-resolution water vapor profiles from Raman lidar located at the ARM SGP observatory.

WHY I’M A CANDIDATE

Deeply engaged with atmospheric boundary-layer dynamics and air quality studies, I heavily rely on ARM data for my research. This provides me with valuable insights into the challenges and opportunities users face when working with these data sets. Serving on the UEC would allow me to contribute my expertise in remote sensing and environmental modeling while helping enhance the ARM user experience. My ongoing projects with NOAA, which depend on ARM data, position me well to provide constructive feedback and support ARM’s mission.

ROLE

• Postdoctoral Research Scientist, Climate School, Columbia University

EDUCATION

• PhD, Harvard University, 2023
• BA, Columbia University, 2017

RESEARCH INTERESTS

My main focus is on cloud and precipitation particles and the simplified representation of their key properties and evolution. To study microphysics, I use a hierarchy of modeling complexities and—beyond physical modeling—leverage Bayesian statistics, machine learning, and observational data. More broadly, I am interested in condensable cycles (like Earth’s water cycle) in diverse planetary atmospheres from modern Earth to hot exoplanets with lava clouds.

PROFESSIONAL EXPERIENCE

My PhD work began with studying clouds and aerosols on exoplanets and ended with studying them on Earth. Currently, I am a postdoctoral researcher at Columbia through Learning the Earth with Artificial Intelligence and Physics (LEAP), which is an NSF Science and Technology Center. I look forward to being a co-PI on a recently funded DOE ASR project to evaluate common cloud parameterization assumptions using ARM data.

WHY I’M A CANDIDATE

As a member of the UEC, I hope to facilitate more use of ARM observational data products in modeling studies. ARM provides a rich consolidation of observational products with potential modeling uses, but this high volume of data can overwhelm modelers. Getting to the point of using an ARM data product requires a large time investment: I would advocate for features that would reduce this startup cost for non-observer users.

Beyond my experiences using ARM data, my qualifications to serve in this role representing cloud modeling and precipitation processes stem from using and developing cloud and precipitation models. I have worked across a hierarchy of models in spatial and microphysical complexity.

ROLE

• Project Scientist II, NSF NCAR

EDUCATION

• PhD, Atmospheric Science, Colorado State University, 2017
• MS, Atmospheric Science, Colorado State University, 2013
• BS, Chemistry, Mathematics Minor, Coastal Carolina University, 2011

RESEARCH INTERESTS

My primary research area is aerosol-cloud-climate interactions, with a focus on bridging knowledge gained from observations and numerical modelling. I am interesting in using field observations to perform process-oriented assessments of coarse-resolution earth system models. Most of my projects are focused on aerosol and clouds over the Southern Ocean region, including the use of data from MARCUS and CAPE-k. Using these data, we are able to characterize aerosol, cloud condensation nuclei, and INP populations that continue used to determine deficiencies in the representation of aerosol and cloud microphysics in earth system models.

PROFESSIONAL EXPERIENCE

I started my research career performing observations of INPs and aerosol in different environments, with a focus on sea spray and biomass burning aerosol. Since arriving at NSF NCAR in 2018, I have pursued research projects that leverage existing observations to constrain and improve earth system model representations of aerosol-cloud-climate interactions. I am the project lead for the NSF NCAR Integrating Field Observations and Research Models (INFORM) project, which aims to accelerate scientific discovery by strengthening observation-model integration through building community-ready tools.

WHY I’M A CANDIDATE

I am eager to contribute to the UEC in support of providing ARM users the resources, guidance, and data necessary to address important uncertainties in earth system science. My experience working with both observations and modeling tools positions me to provide perspective to grow the ARM data user base and provide input on data usability. I also want to contribute to efforts that embrace diversity and invest in the professional development of next-generation scientists.

ROLE

• Graduate Student, Department of Atmospheric Science, University of Wyoming

EDUCATION

• PhD, Atmospheric Science, University of Wyoming, in progress
• MS, Atmospheric Science, University of Wyoming, 2024
• BS, Atmospheric Sciences, University of Washington, 2021

RESEARCH INTERESTS

My primary interest is in aerosol-cloud interactions in liquid clouds and improving model parameterizations of these interactions. I’m also interested in surface remote sensing and the applications of such techniques to cloud microphysics. I’ve recently published a paper in Atmospheric Chemistry and Physics describing a new framework for model constraint of aerosol-cloud adjustments processes using surface observations from ARM’s Eastern North Atlantic (ENA) observatory and am currently working on similar work geared towards understanding the causality of microphysical processes within global climate models (GCMs).

PROFESSIONAL EXPERIENCE

I received my MS in April 2024 from the University of Wyoming and have continued my studies there as a PhD student. My responsibilities include developing new techniques for looking at aerosol-cloud processes with ARM observations and using these retrievals to clarify GCM causality and uncertainty. In early 2024, I helped calibrate the 1290 MHz radar wind profiler (RWP) at the ENA and create retrievals such as reflectivity and clear-air turbulent kinetic energy dissipation rate in open-cell stratocumulus regimes. I frequently use ARM surface observations of clouds and precipitation at the ENA and elsewhere for my research and consider ARM critical to my work.

WHY I’M A CANDIDATE

As a user of ARM data, I am invested in the continued health of this high- quality user facility that so many depend on. I particularly want to enhance the documentation and accessibility of these data. I have a specific plan to improve some of these issues, and I think a little attention can go a long way! From my first research project as an undergraduate to today, I have enjoyed the availability of ARM observations. Now, I hope I can give back to the user facility that’s been such a boon for my and so many others’ careers as a member of the UEC.

ROLE

• Research Scientist, Atmospheric Sciences Research Center, University at Albany

EDUCATION

• PhD, Atmospheric Sciences, University at Albany, 2021
• BS, MS, Physics, Indian Institute of Science Education and Research (IISER) Pune, 2015

RESEARCH INTERESTS

I am an interdisciplinarian who integrates concepts to deepen our process-level understanding of climate ↔ air-quality → health interactions and impacts, with actionable science that bolsters climate and health resilience. ARM has been instrumental in my research; for instance, SGP measurements were crucial in developing a machine learning framework to quantify cloud condensation nuclei and other aerosol properties, and in demonstrating that the statistical basis of (machine) learning emerges from the underlying physicochemical laws.

PROFESSIONAL EXPERIENCE

Formally trained as a physicist, I have expertise in the atmospheric sciences (doctoral) and environmental public health (postdoctoral). In my current role, I contribute to efforts to mitigate environmental risks through improved scientific understanding and modeling of the earth system, focusing on interactions between the surface, atmosphere, and built environment. I translate these insights into addressing individual and community health risks and disparities. For this, I develop and use various models, guided by measurements to ensure realism and trustworthiness.

WHY I’M A CANDIDATE

ARM resources have been indispensable for my research; I am eager to contribute to the UEC to help advance ARM’s mission and support the wider atmospheric research community. My cross-disciplinarity with core expertise in aerosol, global-scale, and high-resolution modeling aligns with the ARM scientific and cross-cutting domains. On the UEC, I will advocate for early career scientists, contribute to the success of the PIER Plan, and offer insights to strengthen the use of ARM data by the chemistry, climate, and artificial intelligence/machine learning modeling communities.

ROLE

• Senior Research Scientist and Cloud Team Lead, Cooperative Institute for Research in the Atmosphere (CIRA)/Colorado State University

EDUCATION

• PhD, Meteorology, Florida State University, 2006
• MS, Environmental Engineering, POSTECH, South Korea, 1999
• BS, Atmospheric Sciences, Yonsei University, South Korea, 1997

RESEARCH INTERESTS

My interests involve a broad range of satellite remote sensing and radiative transfer modeling for weather and climate studies, with expertise in developing and validating cloud and precipitation retrieval products. Recently, I have focused on retrieving cloud height, layer structure, and phase using active and passive satellite observations, leveraging both physics-based techniques and artificial intelligence/machine learning approaches. I am now expanding these efforts to construct global 3D cloud data sets for climate research and aviation weather applications.

PROFESSIONAL EXPERIENCE

I joined CIRA/Colorado State University in 2006 after completing my PhD and began my research analyzing satellite and in situ data during the C3VP/CLEX-10 field campaign (the Canadian CloudSat/CALIPSO Validation Project/CIRA’s the 10th Cloud Layer Experiments funded by the U.S. Department of Defense). Currently, I lead multiple satellite-based research projects supported by various agencies such as NOAA, NSF, and the Office of Naval Research, focusing on cloud property retrievals and validation using in situ measurements.

WHY I’M A CANDIDATE

I have extensive experience in developing algorithms and conducting validation efforts that directly support NOAA’s operational satellite cloud product development and long-term data monitoring. I have leveraged ARM measurements and other in situ data to enhance these products. More recently, I have enhanced user engagement for aviation weather applications using satellite data. As both a user and developer, I believe I am uniquely positioned to bridge between operational users and researchers, facilitating the practical application of ARM data in more weather and climate contexts.

ROLE

• Assistant Professor, Department of Environmental Sciences, University of Virginia

EDUCATION

• PhD, Atmospheric and Oceanic Sciences, University of California, Los Angeles (UCLA), 2017
• MS, Atmospheric and Oceanic Sciences, UCLA, 2013
• BA, Earth and Planetary Sciences, Johns Hopkins University, 2011

RESEARCH INTERESTS

My lab group uses ARM site observations, satellite data, and cloud-resolving models to study the physical processes controlling deep convection. We also use earth system models (ESMs) to study the interactions between clouds, convection, precipitation, and atmospheric circulation across scales to improve understanding of hydroclimatological changes in a warming world.

PROFESSIONAL EXPERIENCE

I have been active in the ARM/ASR and EESD/RGMA communities since the start of my academic career. My PhD thesis was rooted in ARM data analysis of thermodynamic controls on tropical deep convection using data from GoAmazon2014/15 and the Tropical Western Pacific ARM sites. Since, I have used ARM data to understand environmental controls on the shallow-to-deep convective transition and the organization of mesoscale convective systems. I have also contributed to PCMDI’s ARM model diagnostics package for ESM evaluation. I currently co-lead an ASR project aimed at refining a buoyancy framework to describe these convective transitions and lead an RGMA project to understand tropical high cloud feedbacks.

WHY I’M A CANDIDATE

I hope to contribute my perspective as an early career scientist on using ARM data and complementary satellite data sets to tackle questions in climate science spanning multiple scales and for multiple purposes.

ROLE

• Senior Research Lab Specialist, University of Michigan, Ann Arbor

EDUCATION

• PhD, Environmental/Analytical Chemistry, University of Montana, 2020
• BA, Chemistry, Concordia University, 2014

RESEARCH INTERESTS

My interests encompass in situ measurements of aerosols and trace gases and their impacts on air quality and climate. My doctoral research centered on emissions from biomass burning, but in recent years my focus has switched to measurements in the Arctic, sub-Arctic, and wintertime environments. Consequently, I am interested in the intersection of these topics, especially when considering projected increases in biomass burning emissions both globally and within the rapidly changing Arctic.

PROFESSIONAL EXPERIENCE

My experience includes participation in several ground and airborne field campaigns across the world, including WE-CAN, FIREX-AQ, ALPACA, and ARCSIX. Throughout my career, I have also helped build, operate, and maintain a suite of custom and commercial instrumentation. My current responsibilities primarily encompass research lab management, technical expertise, and graduate student mentorship.  I am most passionate about conducting fieldwork and helping students succeed.

WHY I’M A CANDIDATE

Global observation networks like ARM provide invaluable resources for advancing atmospheric and climate research. My background and publication record make me well suited to provide guidance on in situ observations, aerosol measurements and modeling, and corresponding climate interactions. As an ARM user, it would be an honor to serve on the UEC and help contribute to improvements for current and future users based on community feedback.

ROLE

• Research Scientist I, Cooperative Institute for Research in Environmental Sciences (CIRES) at NOAA/GSL and DTC

EDUCATION

• PhD, Earth and Climate Sciences, University of Maine, 2020
• MS, Earth and Atmospheric Sciences, University of Nebraska-Lincoln, 2016
• BS, Atmospheric Sciences, University of North Dakota, 2014

RESEARCH INTERESTS

My interests include boundary-layer processes and land-atmosphere interactions, particularly during the morning and evening transitions.  I use observations from ARM sites and field campaigns as well as 3D and single-column models to evaluate physics parameterizations used by operational numerical weather prediction models.

PROFESSIONAL EXPERIENCE

I started working at CIRES in 2022 as a postdoc. As part of my research, I used observations from the ARM SGP observatory to assess the representation of boundary-layer evolution in simulations of the Common Community Physics Package Single Column Model (CCPP-SCM). I also assessed the representation of marine boundary-layer structure and clouds within simulations of the Weather Research and Forecasting (WRF) Model using observations from the ARM MAGIC campaign and GOES satellite imagery.  Prior to my postdoc role, I worked at the Alaska Climate Research Center at the University of Alaska Fairbanks, where I was introduced to ARM and used data from the NSA.

WHY I’M A CANDIDATE

I want to serve on the UEC to get to know more people within the ARM community and help ARM better understand the needs of users. I have worked with scientists and developers who used ARM data for research and model testing and development, and at times have acted as a bridge between colleagues and representatives at ARM Data Services. I believe that my research experience, as well as connections within the boundary-layer and modeling communities, will benefit the UEC.

ROLE

• Postdoctoral Research Staff Member, Lawrence Livermore National Laboratory

EDUCATION

• PhD, Atmospheric Sciences, University of Maryland, 2021
• BS, Atmospheric Sciences, Peking University, 2016

RESEARCH INTERESTS

My interests include studying the complex interactions among the planetary boundary layer (PBL), aerosols, clouds, and land surface. I use observations, climate modeling, and machine learning to study these dynamics. I have published about 40 papers, most of which are based on ARM observations. One, on land-cloud coupling in Atmospheric Chemistry and Physics, was featured in the 2022 ARM Annual Report, while another, on aerosol-cloud interactions in Science Advances, is scheduled to be featured in the 2024 ARM Annual Report. I’m currently studying how land-PBL-cloud interactions will change with projected future climate.

PROFESSIONAL EXPERIENCE

I completed my PhD at the University of Maryland, studying aerosol-PBL interactions using ARM data. I have developed two ARM PI products and played a key role in writing a university research proposal funded by ARM. Currently, I am a convener for session A142 (Understanding Land-Atmosphere Interactions) at the AGU 2024 Annual Meeting. Since joining Lawrence Livermore National Laboratory, I have participated in the ASR Science Focus Area (SFA) project called Tying in High Resolution E3SM with ARM Data (THREAD).

WHY I’M A CANDIDATE

My extensive experience with the use and development of ARM data makes me a well-suited candidate for a position on the UEC. I have participated in several ASR-funded projects, two university projects, and one SFA project. My experience embraces a broad range of ARM-related disciplines, such as aerosol and cloud measurements, high-resolution modeling, and land-atmosphere interactions. I am committed to actively contributing to the ARM community by bridging user needs and the facility’s capabilities.

ROLE

• Professor of Practice, George Mason University/Director, International GEWEX Project Office

EDUCATION

• PhD, Earth Observation, Wageningen University, the Netherlands, 2000
• M.Sc., Land and Water Management/Hydrology and Earth Observation, Wageningen University, the Netherlands, 1991
• B.Sc. eq., Wageningen University, the Netherlands, 1986

RESEARCH INTERESTS

My main interests are earth observation of the water cycle with an initial focus on soil moisture, hydroclimatology, and climate change. Currently, I support land-atmosphere feedback processes in the context of establishing the GEWEX Land-Atmosphere Feedback Observatories (GLAFOs).

PROFESSIONAL EXPERIENCE

In 2000, I obtained my PhD with an emphasis on microwave remote sensing and soil moisture. During my studies, I was awarded a Fulbright Scholarship to study stochastic methods and regional hydroclimate modeling at the University of California, Davis. As a PhD student and postdoc, I participated in numerous large-scale field experiments both as PI and co-I. After my PhD, I co-founded SarVision B.V. , a company that specialized in microwave remote sensing to monitor tropical deforestation. I also lectured in the physics of remote sensing at Wageningen University. In 2004, I moved to the European Space Agency as the European GEWEX coordinator. Since 2008, I have been the director of the International GEWEX Project Office in support of the World Climate Research Programme. In June 2020, I became Professor of Practice in Climate Dynamics at George Mason.

WHY I’M A CANDIDATE

My career has focused on hydrometeorological research and supporting international research collaboration. I have broad experience in earth observation techniques, hydrometeorological fieldwork and instrument deployment, and facilitating better use of observational hydrometeorological data. My current engagement in developing new observational sites that focus on land-atmosphere processes fits nicely with the ARM user facility.

ROLE

• Earth Scientist, PNNL

EDUCATION

• PhD, Atmospheric Sciences, University of Arizona, 2020
• MS, Atmospheric Sciences, University of North Dakota, 2015
• BS, Atmospheric Sciences, Nanjing University of Information Science and Technology, China, 2011

RESEARCH INTERESTS

I study aerosol, cloud, and precipitation properties, focusing on processes and interactions. I have developed retrieval algorithms to estimate cloud and precipitation microphysics using ARM ground-based and aerial observations. To understand the physical processes, I performed and analyzed high-resolution LES simulations during ARM field campaigns. My recent work expands to understanding how aerosols influence cloud evolution, starting with identifying aerosol layers and retrieving their height-resolved physical properties using ARM lidar systems.

PROFESSIONAL EXPERIENCE

My first project during graduate study was analyzing field campaign observations from CAP-MBL. Later, my PhD work heavily relied on data from the ENA observatory. I joined PNNL in 2020 as a postdoc, studying cloud regime transitions during COMBLE cold-air outbreaks using observations and simulations. Currently, as an ARM data analyst, part of my work involves developing aerosol property products using multiwavelength lidar measurements.

WHY I’M A CANDIDATE

As a longtime ARM data user and product developer, I can effectively bridge the gap between investigators and ARM instrument mentors and management. With experience in both observations and modeling, I am well positioned to facilitate communication and address the needs of both communities.

ROLE

• Scientist, Jet Propulsion Laboratory (JPL), California Institute of Technology

EDUCATION

• PhD, UCLA, 2009
• BS, Beijing University, China, 2003

RESEARCH INTERESTS

My research focuses on understanding the interactions of cloud, atmosphere, and radiation using remote-sensing observations. My research projects include radiative feedback and radiative forcing from observations and numerical model simulations, cloud remote sensing and uncertainty quantification of satellite data records, and PBL measurements from space and sub-orbital instruments.

PROFESSIONAL EXPERIENCE

In 1999, after receiving my BA, I earned the PhD at UCLA studying ice cloud light scattering and radiative transfer for applications in numerical models and satellite remote sensing. I joined JPL in 2009 and JPL’s Atmospheric Physics and Weather group in 2014. I support NASA infrared sounder satellite projects and co-lead algorithm testing and product validation in my group, as well as retrieval algorithm development for observing ice cloud vertical profiles and PBL thermodynamic properties using remote-sensing instruments. I am a member of NASA’s Study Architecture Working Group (SAWG) on the Open-Source Science (OSS) for the Earth System Observatory Mission (ESO) Science Data Processing Study.

WHY I’M A CANDIDATE

I have been an active user of data products produced by ARM, NASA, NOAA, private PIs, etc. An important theme of my research is to provide and improve NASA operational products to serve users from different backgrounds. My own research benefits from smooth communications between the user and provider community, and I experienced setbacks due to disconnections. These experiences qualify and motivate me to serve on ARM’s UEC, and I hope my participation will positively impact our field.

ROLE

• Research Faculty, Atmospheric Sciences Research Center, University at Albany

EDUCATION

• PhD, Atmospheric Science, University at Albany, 2019
• MS, Chinese Academy of Science, 2015
• BS, Optical Information Science and Technology, Qufu Normal University, China, 2012

RESEARCH INTERESTS

My research focuses on characterizing atmospheric aerosol evolution under diverse conditions (such as heatwaves, fog, and clouds), exploring the interactions between urban outflow plumes and local meteorology, and examining long-term variations in aerosol composition. I use a combination of tools, including our well-equipped mobile lab, site measurements, and satellite observations. My recent work on these topics has been published in journals including JGRA, GRL, and NPJ Climate.

PROFESSIONAL EXPERIENCE

I began my research in atmospheric aerosol evolution as a PhD student at the University at Albany, using the mobile lab. I then continued at Colorado State University, focusing on volatile organic compound (VOC) measurements, before returning to Albany to concentrate on the interaction between urban outflow plumes and local meteorology. I have participated in several collaborative field campaigns across the New York City metro region and serve as co-PI for the 2025 ARM CoURAGE project and PI for the 2025 TBS Seasonal/Spatial Vertical NPF Variation Study.

WHY I’M A CANDIDATE

I want to serve on the ARM UEC to contribute my expertise in aerosol evolution and interaction with local meteorology, which aligns closely with ARM’s scientific mission. My experience as a PI for ARM’s TBS and CoURAGE projects will provide me insight into the challenges and opportunities faced by ARM users. I will represent users by providing objective feedback that enhances the user experience and fosters innovative research. My extensive work with mobile labs, site measurements, and satellite observations, as well as active participation in collaborative field campaigns, position me to effectively advocate for the needs and interests of the atmospheric science community.

ROLE

• Scientist, PNNL

EDUCATION

• PhD, Institute of Atmospheric Physics, Chinese Academy of Sciences, 2008
• MS, Chinese Academy of Meteorological Sciences, 2004
• BS, Ocean University of China, 2001

RESEARCH INTERESTS

My research focuses on the treatment and understanding of aerosol and cloud processes in the global aerosol-climate model system. I apply data assimilation methods and conduct global hindcast simulations to constrain aerosol and cloud parameterizations using in situ measurements and satellite retrievals. My current work is on understanding effective aerosol forcing mechanisms and investigating their impacts on the global energy budget and water cycle using the E3SM model.

PROFESSIONAL EXPERIENCE

I spent three years at the Max Planck Institute for Meteorology and contributed to the development of the global aerosol-climate model ECHAM-HAM2. In 2011, I joined PNNL, initially focusing on evaluating the ice cloud parameterization in CAM5 using ARM field campaign data and investigating the aerosol effects on ice clouds. In recent years, I worked on E3SM atmospheric model development and evaluation, with an emphasis on the historical evolution of aerosol distributions and its impact on radiative forcing and climate.

WHY I’M A CANDIDATE

I want to serve on the UEC because it will allow me to more closely interact with ARM instrument and data experts as well as the facility management team. I also want to develop a deeper understanding of some ARM products. I feel I qualify for the nominated scientific domains because (1) my expertise in global aerosol modeling allows me to advocate for ARM’s focus on relevant measurements and data, and (2) my personal user experience, especially for evaluating aerosol and cloud hindcast simulations, can help me represent user needs and provide suggestions on how to minimize user effort while maximizing data impact.

ROLE

• Staff Scientist, Lawrence Livermore National Laboratory

EDUCATION

• PhD, Meteorology, University of Miami, 2012
• MS, Meteorology, Chinese Academy of Meteorological Sciences, 2006
• BS, Atmospheric Sciences, Nanjing University, 2003

RESEARCH INTERESTS

My research explores boundary-layer clouds and their interactions with aerosols. I am interested in how these clouds respond to environmental and human influences, as well as improving their modeling. I also develop and evaluate earth system models.

PROFESSIONAL EXPERIENCE

I have extensively used ARM observations throughout my research career. Since 2021, I have served as the PI for a DOE Early Career project investigating the response of warm clouds to aerosol perturbations. Most recently, I have led the development of the E3SM version 3.0 High-Resolution Coupled model configuration. At the American Meteorological Society (AMS), I am a program co-chair for the annual Symposium on Aerosol–Cloud–Climate Interactions and a committee member for Atmospheric Chemistry under the Scientific and Technological Activities Commission (STAC).

WHY I’M A CANDIDATE

I have conducted modeling studies using various approaches and scales, including large-eddy simulation (LES), regional, and earth system. This diverse experience equips me to contribute in the fields of cloud modeling, precipitation processes, global-scale modeling, and high-resolution modeling.

ROLE

• Assistant Atmospheric Scientist, Brookhaven National Laboratory

EDUCATION

• PhD, Stony Brook University, 2022
• MS, Lanzhou University, 2017
• BS, Lanzhou University, 2015

RESEARCH INTERESTS

My research focuses on advancing process-level understanding of clouds and precipitation through remote sensing, in situ observations, laboratory experiments, and model simulations. My most recent project involves the development of next-generation remote-sensing instruments with centimeter-level resolution, aimed at enhancing the observation of cloud microphysics. This high-resolution measurement research has been published in several journals, including the Bulletin of the American Meteorological Society and NPJ Climate and Atmospheric Science.

PROFESSIONAL EXPERIENCE

In my PhD thesis, I extensively used ARM remote-sensing measurements, developing algorithms to retrieve key microphysical and dynamic properties. In 2022, I joined Brookhaven National Laboratory as a postdoc, contributing to the development of high-resolution remote-sensing instruments for use in a cloud chamber. In 2024, I was promoted to assistant scientist and became the ARM instrument mentor for precipitation measurement systems. I have participated in several field campaigns, including ESCAPE and the SW-IFL IOP. Additionally, I have been guest editor for Remote Sensing and will convene the Second Symposium on Cloud Physics at the 104^th AMS Annual Meeting.

WHY I’M A CANDIDATE

As an ARM data user for over five years, I developed my PhD thesis using ARM measurements from various sites. During this time, I benefited from the guidance of former UEC members. As an instrument mentor, I have gained expertise in instrumentation, strengthened my collaboration with ARM staff, and deepened my understanding of ARM’s operation. These experiences inspire me to contribute further to the ARM community. I am qualified to serve on the UEC because of my work as an instrument mentor, my domain expertise in cloud and precipitation research, and my collaborative approach to research, which can help optimize data usage and expand ARM’s research impact.